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Journal of Machine Learning Research, ISSN 1532-4435, 2010, Volume 9, pp. 249 - 256
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2011, Volume 15, pp. 315 - 323
Journal Article
Nature Medicine, ISSN 1078-8956, 09/2018, Volume 24, Issue 9, pp. 1342 - 1350
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 2012, Volume 22, pp. 127 - 135
Journal Article
NATURE, ISSN 0028-0836, 08/2019, Volume 572, Issue 7767, pp. 116 - 116
Journal Article
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, pp. 833 - 840
Conference Proceeding
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, pp. 513 - 520
Conference Proceeding
Machine Learning, ISSN 0885-6125, 02/2014, Volume 94, Issue 2, pp. 233 - 259
Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from... 
Journal Article
Machine Learning, ISSN 0885-6125, 2014, pp. 1 - 30
Journal Article
2011, Lecture Notes in Computer Science, ISBN 3642237827, Volume 6912, Issue 2
We propose a novel regularizer when training an auto-encoder for unsupervised feature extraction. We explicitly encourage the latent representation to contract... 
Computer Science | Database Management | Information Storage and Retrieval | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Mathematical Logic and Formal Languages | Probability and Statistics in Computer Science | Unsupervised feature learning | deep learning | manifold
Book Chapter
Advances in Intelligent Systems and Computing, ISSN 2194-5357, 2015, Volume 318, pp. 209 - 224
Conference Proceeding
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, 2011, pp. 945 - 952
Conference Proceeding
06/2016
Automated discovery of early visual concepts from raw image data is a major open challenge in AI research. Addressing this problem, we propose an unsupervised... 
Journal Article
01/2013
Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from... 
Computer Science - Learning
Journal Article
04/2011
We present in this paper a novel approach for training deterministic auto-encoders. We show that by adding a well chosen penalty term to the classical... 
Computer Science - Artificial Intelligence
Journal Article
ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, 2013, pp. 345 - 354
Conference Proceeding
by The Theano Development Team and Al-Rfou, Rami and Alain, Guillaume and Almahairi, Amjad and Angermueller, Christof and Bahdanau, Dzmitry and Ballas, Nicolas and Bastien, Frédéric and Bayer, Justin and Belikov, Anatoly and Belopolsky, Alexander and Bengio, Yoshua and Bergeron, Arnaud and Bergstra, James and Bisson, Valentin and Snyder, Josh Bleecher and Bouchard, Nicolas and Boulanger-Lewandowski, Nicolas and Bouthillier, Xavier and de Brébisson, Alexandre and Breuleux, Olivier and Carrier, Pierre-Luc and Cho, Kyunghyun and Chorowski, Jan and Christiano, Paul and Cooijmans, Tim and Côté, Marc-Alexandre and Côté, Myriam and Courville, Aaron and Dauphin, Yann N and Delalleau, Olivier and Demouth, Julien and Desjardins, Guillaume and Dieleman, Sander and Dinh, Laurent and Ducoffe, Mélanie and Dumoulin, Vincent and Kahou, Samira Ebrahimi and Erhan, Dumitru and Fan, Ziye and Firat, Orhan and Germain, Mathieu and Glorot, Xavier and Goodfellow, Ian and Graham, Matt and Gulcehre, Caglar and Hamel, Philippe and Harlouchet, Iban and Heng, Jean-Philippe and Hidasi, Balázs and Honari, Sina and Jain, Arjun and Jean, Sébastien and Jia, Kai and Korobov, Mikhail and Kulkarni, Vivek and Lamb, Alex and Lamblin, Pascal and Larsen, Eric and Laurent, César and Lee, Sean and Lefrancois, Simon and Lemieux, Simon and Léonard, Nicholas and Lin, Zhouhan and Livezey, Jesse A and Lorenz, Cory and Lowin, Jeremiah and Ma, Qianli and Manzagol, Pierre-Antoine and Mastropietro, Olivier and McGibbon, Robert T and Memisevic, Roland and van Merriënboer, Bart and Michalski, Vincent and Mirza, Mehdi and Orlandi, Alberto and Pal, Christopher and Pascanu, Razvan and Pezeshki, Mohammad and Raffel, Colin and Renshaw, Daniel and Rocklin, Matthew and Romero, Adriana and Roth, Markus and Sadowski, Peter and Salvatier, John and Savard, François and Schlüter, Jan and Schulman, John and Schwartz, Gabriel and Serban, Iulian Vlad and Serdyuk, Dmitriy and Shabanian, Samira and Simon, Étienne and Spieckermann, Sigurd and Subramanyam, S. Ramana and Sygnowski, Jakub and Tanguay, Jérémie and van Tulder, Gijs and ...
05/2016
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its... 
Journal Article
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